{“状态”:“确定”,“消息类型”:“工作”,“信息版本”:“1.0.0”,“邮件”:{“索引”:{“日期-部件”:[[2023,9,7]],“日期-时间”:“2023-09-07T20:55:54Z”,“时间戳”:1694120154435},“参考-计数”:34,“出版商”:“Springer Science and Business Media LLC”:“2022-01-06T00:00:00Z”,“timestamp”:1641427200000},“content-version”:“tdm”,“delay-in-days”:0,“URL”:“https:\/\/www.springer.com/tdm”},{“start”:{“date-parts”:[[2022,1,6]],“date-time”:“2022-01-06T00:00:00Z”,“timetamp”:64142720000},/tdm“}”,“出资人”:[{“名称”:“国家自然科学基金重点项目”,“奖项”:[“62136005”]}],“内容域”:{“domain”:[”link.springer.com“],“crossmark-restriction”:false},“short-container-title”:【”Int.J.Mach.Learn.&Cyber.“】,“published-print”:{“date-parts”:[2022,6]},”DOI“10.1007\/s13042-01484-5”,“type”:“journal-article”,“created”:{“date-parts”:[[2022,1,6]],“date-time”:“2022-01-06T00:04:42Z”,“timestamp”:1641427482000},“page”:“1751-1762”,“update-policy”:”http://\/dx.doi.org\/10.1007\/springer_crossmark_policy“,”source“:”Crossref“,“is-referenced-by-count”:4,“title”:[“用于抽象推理的多粒度多尺度关系网络”],“前缀”:“10.1007”,“卷”:“13”,“author”:[{“given”:“Qian”,“family”:“Guo”,“sequence”:“first”,“affiliation”:[]},{“ORCID”:”http://\/ORCID.org\/00000-0001-6772-4247“,”authenticated-ORCID“:false,”given“:”Yuhua“,”family“:”Qian“,”sequence“:”additional{“given”:“Junyu”,“family”:“Chen”,“sequence”:“additional”,“affiliation”:[]},{“given”:“Honghong”,“family”:“Cheng”,“se序列”:“附加”,“从属”:[]}],“member”:“297”,“published-on-line”:{“date-parts”:[2022,1,6]};“reference”:[{“key”:”1484_CR1“,”doi-asserted-by“:”crossref“,“unstructured”:“Liang X,Guo Q,Qian Y,Ding W,Zhang Q(2021)EDF:进化深度融合方法及其在化学结构识别中的应用。IEEE Trans-Evol Comput 25(5):883\u2013893“,”DOI“:”10.1109\/TEVC.2021.3064943“},{”key“:”1484_CR2“,”DOI断言“:”publisher“,”nonstructured“:”Liang X,Qian Y,Guo Q,Cheng H,Liang J(2021)AF:一种基于关联的多模态分类融合方法。IEEE Trans-Pattern Anal Mach Intell https:\/\/DOI.org/10.1109\/TPAMI.20213.1252995“,”DOI“:”10.1109\/TPAMI.2021.3125995“},{“key”:“1484_CR3”,“unstructured”:“Dai W-Z,Xu Q,Yu Y,Zhou Z-H(2019)通过溯因学习桥接机器学习和逻辑推理。In:第33届神经信息处理系统会议(NeurIPS 2019),第32卷。加拿大温哥华,pp 2811\u20132822“},{“key”:“1484_CR4”,“doi-asserted-by”:“publisher”,“unstructured”:“Huang Y-X,Dai W-Z,Yang J,Cai L-W,Cheng S,Huang R,Li Y-F,Zhou Z(2020)半监督诱拐学习及其在盗窃司法判决中的应用。In:2020 IEEE国际数据挖掘会议(ICDM)。pp 1070\u20131075。https:\/\/doi.org\/10.109\/ICDM50108.2020.00127“,”doi“:”10.1109\/ICDM5108.020.00127“},{”key“:”1484_CR5“,”doi-asserted-by“:”publisher“,”unstructured“:”Guo Q,Qian Y,Liang X(2019)从可视数据中挖掘逻辑模式。In:2019 IEEE国际数据挖掘研讨会(ICDMW)。pp 620\u2013627。https:\/\/doi.org\/10.109\/ICDMW.2019.00094“,”doi“:”10.1109\/ICDMW.2019.0094“},{“key”:“1484_CR6”,“unstructured”:“Santoro A,Hill F,Barrett D,Morcos A,Lillicrap T(2018)测量神经网络中的抽象推理。in:International Conference on Machine Learning,pp 4477\u20134486“}非结构化”:“Zhang C、Gao F、Jia B、Zhu Y和Zhu SC(2019)Raven:关系和类比视觉推理的数据集。2019 IEEE\/CVF计算机视觉和模式识别会议(CVPR),第5312\u20135322页,https:\/\/doi.org\/10.109\/CVPR.2019.00546“,“doi”:“10.1109\/CVPR.2019.00546}”,{“key”:“1484_CR8”,“unstructured”:“Xiao H,Rasul K,Vollgraf R(2017)Fashion-mnist:用于基准机器学习算法的新图像数据集。eprintcs公司。LG\/1708.077747“},{“key”:“1484_CR9”,“unstructured”:“Hoshen D,Werman M(2017)Iq of neural networks.CoRR.arXiv:1710.01692”},{“key”:“1484_CR10”,“doi asserted by”:“publisher”,“unstructured”:“Jahrens M,Martinetz T(2019)用于关系推理的多层关系网络。pp 1\u20135,https://doi.org/10.1145\/339772.3309782”,“doi”:“10.1145\/339772.3309782“},{”key“:”1484_CR11“,”doi asserted by“:”publisher“,”nonstructured“:”Jahrens M,Martinetz T(2020)用多层关系网络求解raven\u2019渐进矩阵。In:2020国际神经网络联合会议(IJCNN),pp 1\u20136,https://doi.org/10.1109\/IJCNN48605..2020.9207319“,”doi“:”10.1109\/IJCNN48605.2020.9207319“},{“key”:“1484_CR12”,“unstructured”:“Zheng K,Jun Zha Z,Wei W(2019)具有分散注意力特征的抽象推理。收录于:第33届神经信息处理系统会议(NeurIPS 2019),第32卷。加拿大温哥华,pp 5842\u20135853“},{“key”:“1484_CR13”,“unstructured”:“Santoro A,Raposo D,Barrett DG,Malinowski M,Pascanu R,Battaglia P,Lillicrap T(2017)用于关系推理的简单神经网络模块。摘自:《第31届神经信息处理系统国际会议论文集》,Curran Associates Inc.,Red Hook,NY,USA,NIPS\u201917,pp 4974\u20134983“},{“issue”:“2”,“key”:“1484_CR14”,“doi-asserted-by”:“publisher”,“first-page”:“111”,“doi”:“10.1016\/S0165-0114(97)00077-8”,《volume》:“90”,“author”:“LA Zadeh”,“year”:“1997”非结构化”:“Zadeh LA(1997)关于模糊信息粒化理论及其在人类推理和模糊逻辑中的中心地位。Fuzzy Sets Syst 90(2):111\u2013127“,”journal-title“:”Fuzzy Set and Systems“},{”issue“:”5“,”key“:”1484_CR15“,“doi-asserted-by”:“publisher”,“first page”:“887”,“doi”:“10.1109”,TFUZ.2019.2953024“,”volume“:“28”,“author”:“J Wang”,“year”:“2020”,“unstructured”:“Wang J,Qian Y,Li F,Liang J,Ding W(2020)融合模糊单调决策树。IEEE Trans Fuzzy Syst 28(5):887\u2013900”,“journal-title”:“IEEE Trans-Fuzzy Syss”},{“issue”:“7”,“key”:“1484_CR16”,“first page”:”1395“,“volume”:“28”,“author”:“Y Wang”,“year”:“2020”,“unstructured”:“Wang Y,Hu Q,Zhu P,Li L,Lu B,Garibaldi JM,Li X(2020)用于大规模分层视觉分类的深层模糊树。IEEE Trans-Vuzzy Syst 28(7):1395\u20131406“,“journal-title”:“IEEE Trans-Fuzzy Syst”},{“issue”:“10”,“key”:“1484_CR17”,“doi-asserted-by”:“publisher”,“first page”:”1891“,“doi”:“10.1109\/TFUZ.2019.2892349”,“volume”:《第27卷》,“author”:“H Zhao”,“year”:“2019年”,“unstructured”:“Zhao H,Wang P,Hu Q,Zhu P(2019)基于模糊粗糙集的大规模层次分类特征选择。IEEE Trans Fuzzy Syst 27(10):1891\u20131903“,“journal-title”:“IEEE Trans-Fuzzy Syss”},{“key”:“1484_CR18”,“doi-asserted-by”:“publisher”,“first page”:”859“,“doi”:“10.1007\/s13042-020-01206-3”,“volume”:“12”,“author”:“W Hou”,“year”:“2021”,“unstructured”:“Hou W,Wang Y,Wang J,Cheng P,Li L(2021)基于新型加权邻近度和遗传算法的直觉模糊c-均值聚类算法。Int J Mach Learn Cyber 12:859\u2013875“,”journal-title“:”Int J Mach Learn Tybern“},{”key“:”1484_CR19“,”doi-asserted-by“:”publisher“,”first page“:“37”,”doi“:”10.1016\/J.artint.2018.12.007“,“volume”:“273”,“author”:“F Li”,“year”:“2019”,“unstructured”:“Li F,Qian Y,Wang J,Dang C,Jing L(2019)”基于样本\u2019s稳定性的聚类集成。Artif Intell 273:37\u201355“,”journal-title“:”Artif Intell“},{”key“:”1484_CR20“,”doi-asserted-by“:”publisher“,”首页“:”32“,”doi“:”10.1016\/j.ijar.2019.09.001“,”volume“:“115”,”author“:”H Yu“,”year“:”2019“,”unstructured“:”Yu H,Chen Y,Lingras P,Wang G(2019)大规模数据的三向聚类集成方法。国际J近似推理115:32\u201349”,“期刊标题”:“国际近似推理杂志”},{“key”:“1484_CR21”,“doi-asserted-by”:“publisher”,“首页”:“1003”,“doi”:“10.1007\/s13042-019-00988-5”,“卷”:“11”,“author”:“H Yu”,“year”:“2020”,“unstructured”:“Yu H,Chang Z,Wang G,Chen X(2020)一种基于引力搜索的高效三向聚类算法。Int J Mac Learn Cyber 11:1003\u20131016“,“journal-title”:“国际机器学习与控制论杂志”},{“issue”:“6”,“key”:“1484_CR22”,“doi-asserted-by”:“publisher”,“first-page:”824“,“doi”:“10.1360\/SSI-2020-0009”,“volume”:”50“author”:“H Cheng”,“year”:“2020”,“unstructured”:“Cheng H,Qian Y,Hu Z,Liang J(2020)基于邻域视角的关联挖掘方法。Scientia Sinica Informationis 50(6):824\u2013844“,“journal-title”:“Scientia-Sinica信息学”},{“key”:“1484_CR23”,“doi-asserted-by”:“publisher”,“first page”:”122“,“doi”:“10.1016\/j.ijar.2019.12.013”,“volume”:《119》,“author”:“Z江”,“year”:“2020”,“unstructured”:“江Z,刘K,杨X,余H,Fujita H,钱Y(2020)基于监督邻域的属性约简加速器。Int J Approx Reason 119:122\u2013150“,”journal-title“:”Int J Abrox Reas“},{“key”:“1484_CR24”,“doi-asserted-by”:“publisher”,“first page”:”573“,”doi“:”10.1007 \/s13042-019-00996-5“,”volume“:”11“,”author“:”MA Tawhid“,”year“:”2020“,”unstructured“:”Tawhid MA,Ibrahim AM(2020)基于粗糙集方法、包装器方法和二进制鲸鱼优化算法的特征选择。Int J Mach Learn Cyber 11:573\u2013602“,”journal-title“:”Int J Mach Learn Cryber“},{“key”:“1484_CR25”,“doi-asserted-by”:“publisher”,“first page”:”33“,”doi“:”10.1016\/J.ijar.2020.08.010“,”volume“:”127“,”author“:”D Wang“,”year“:”2020“unstructured”:“Wang D,Chen H,Li T,Wan J,Huang Y(2020)”一种新的用于特征选择的量子蚱蜢优化算法。Int J Approx Reason 127:33\u201353“,”journal-title“:”Int J Abrox Reas“},{”key“:”1484_CR26“,”doi-asserted-by“:”publisher“,”first page“:“2149”,”doi“:”10.1007\/s13042-020-01107-5“,”volume“:11”,“author”:“K Liu”,“year”:“2020”,“unstructured”:“Liu K,Yang X,Yu H,Hamido and Fujita XLD,Chen X,(2020)用于属性约简的监督信息粒度策略。Int J Mach Learn Cyber 11:2149\u20132163“,”journal-title“:”Int J Mach Learn Cryber“},{“key”:“1484_CR27”,“doi-asserted-by”:“publisher”,“first page”:”122“,”doi“:”10.1016\/J.ijar.2019.11.008“,”volume“:”117“,”author“:”J Pang“,”year“:”2020“unstructured”:”Pang J,Guan X,Liang J,Wang B,Song P(2020)基于多粒度权重和三元决策的多属性群决策方法。Int J Approx Reason 117:122\u2013147“,“journal-title”:“Int J Abrox Reas”},{“key”:“1484_CR28”,“doi-asserted-by”:“publisher”,“首页”:“47”,“doi”:“10.1016\/J.ijar.2020.04.003”,“卷”:“122”,“作者”:“L Yang”,“年份”:“2020”,“非结构化”:“Yang L,Xu,Zhang X,Sang B(2020)多源决策信息系统中信息融合的多粒度方法。Int J Approx Reason 122:47\u201365“,“journal-title”:“Int J Abrox Reas”},{“key”:“1484_CR29”,“doi-asserted-by”:“publisher”,“first page”:”661“,“doi”:“10.1007\/s13042-020-01195-3”,“volume”:“12”,“author”:“D Ye”,”year“2021”,“unstructured”:“Ye D,Li T,Liang S(2021)”区间值直觉模糊三方决策的多分类决策方法及其在群决策中的应用。Int J Mach Learn Cyber 12:661\u2013687”,“journal-title”:“国际机器学习与控制论杂志”},{“issue”:“6”,“key”:“1484_CR30”,“doi-asserted-by”:“publisher”,“first page”:”949“,“doi”:“10.1016\/J.ins.2009.11.023”,“volume”:《180》,“author”:“Y Qian”,”year“2010”,“unstructured”:“Qian Y,Liang J,Yao Y,Dang C(2010)MGRS:一个多粒度粗糙集。信息科学180(6):949\u2013970”,“期刊标题”:“信息科学”},{“密钥”:“1484_CR31”,“doi断言者”:“出版商”,“首页”:“119”,“doi”:“10.1016\/j.jar.2016.12.008”,“卷”:“82”,“作者”:“Y Qian”,“年份”:“2017”,“非结构化”:“Qian Y,Liang X,Lin G,Guo Q,Liang j(2017)局部多粒度决策理论粗糙集。Int J Approx Reason 82:119\u2013137“,“journal-title”:“Int J Abrox Reas”},{“issue”:“9\u201310”,“key”:“1484_CR32”,“doi-asserted-by”:“publisher”,“first-page”:“597”,“doi”:“10.1016\/J.artint.2010.04.018”,“volume”:”174“author”:“Y Qian”,”year“2010”,“unstructured”:“Qian Y,Liang J,Pedrycz W,Dang C(2010)正逼近:粗糙集理论中属性约简的加速器。Artif Intell 174(9\u201310):597\u2013618“,“journal-title”:“Artif Intell”},{“issue”:“18”,“key”:“1484_CR33”,“doi-asserted-by”:“publisher”,“first-page”:“3878”,“doi”:“10.1016\/j.ins.2011.04.047”,“volume”:”181“author”:“W”,“year”:“2011”,“unstructured”:“Wu W,Leung Y(2011)多尺度决策表中颗粒标记分区的理论与应用。Info Sci 181(18):3878\u20133897“,”journal-title“:”Info Scy“},{”key“:”1484_CR34“,”doi-asserted-by“:”publisher“,”first-page“:”282“,”doi“:”10.1016\/j.ins.2016.03.041“,”volume“:282\u2013302“,”journal-title“:”Info-Sci“}],”container-title”:[“国际机器学习与控制论杂志”],”original-title:[],”language“:”en“,”link“:[{”URL“:”https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-021-01484-5.pdf“,”content-type“:”application\/pdf“,”content-version“:”vor“,”intended-application“:”text-mining“},”{“URL”:“https:\/\/link.springer.com/article\/10.1007\/s13042-021-01484-5\/fulltext.html“,“内容类型”:“文本\/html”,“内容版本”:“vor”,“intended-application”:“text-mining”},{“URL”:“https:\//link.springer\com/content\/pdf\/10.10007\/s1304281-01484-5.pdf”,“content-type”:“”相似性检查“}”,“存放”:{“date-parts”:[[2022,4,26]],“date-time”:“2022-04-26T04:40:58Z”,“timestamp”:1650948058000},“score”:1,“resource”:{“primary”:{“URL”:“https:\\/link.springer.com\/10007\/s13042-021-01484-5”},”subtitle“:[],”shorttitle“:[],”issued“:{”date-part“:[2022,1,6]]},“references-count”:34,“journal-issue”:{“issue”:“6”,“published-print“:{“date-parts”:[[2022,6]]}},“alternative-id”:[“1484”],“URL”:“http://\/dx.doi.org\/10.1007\/s13042-021-01484-5”,“relationship”:{},”ISSN“:[“1868-8071”,“1868-80 8X”],”ISSN-type“:[{“value”:“1868-8071”“电子”}],“主题”:[],“发布”:{“日期部分”:[[2022,1,6]]},“断言”:[{“值”:“2021年5月21日“,”订单“:1,”名称“:”收到“,”标签“:”接收“,”组“::“首次联机”,“组”:{“name“:”ArticleHistory“,”label“:”Article History”}},{“order”:1,“name”:“Ethics”,“group”:{“name”:“EthicsHeading”,“label”:“Declarations”},}“value”:“作者声明他们没有利益冲突